Machine Learning Intelligent Operations Team - Quant Analytics Senior Associate

JPMorganChase; Columbus (OH); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health benefits

Job summary

Chase is seeking a Quant Analytics Senior Associate to unify data talent and optimize Conversational Insights and Coaching products. You will conduct end-to-end analyses, develop SQL/Python code, and present actionable insights to leadership.

Join a fast-paced, cross-functional team implementing causal inference, ML, and NLP techniques to enhance customer engagement and operational efficiency.

Qualifications

• Bachelor’s degree in Economics, Data Analytics, Statistics, or STEM; 6 years analytics experience or a Master’s in a related field.
• Solid programming skills in SQL and data wrangling with visualization tools.
• Experience with AWS, Spark/EMR, and modern ML/NLP concepts.

Responsibilities

• End-to-end data analysis to enhance LLM and GenAI model performance across AWS and on-prem environments.
• Transform datasets, automate reporting, and perform driver analysis to improve processes.
• Collaborate with cross-functional teams to validate hypotheses and production data integrity.
• Create clear insights for peers, executives, and business partners.
• Investigate data collection and production issues; document outputs clearly.
• Develop SQL and Python codebases and document data dictionaries.

Skills

SQL

Excel

Python

Jupyter

Statistics

ML concepts

Education

Bachelor's degree in Economics/Data Analytics/Statistics or STEM

6+ years analytics OR Master's in Economics/Data Analytics/Statistics/STEM

Tools

Tableau

Alteryx

Python (Jupyter)

AWS

Spark/EMR

Snowflake

ChatGPT

Confluence

Job description

Job Description

Join a team that unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers.

As a Quant Analytics Senior Associate, within the MLIO Analytics team, you will play a key role in optimizing Conversational Insights and Insights for Coaching products, span the entire problem-solving lifecycle, including: identifying gaps through thorough and inquisitive analyses, conducting root cause analyses using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels.

Job Responsibilities

• Conduct end-to-end data analysis to enhance LLM and GenAI model performance across both AWS and on-premises environments.
• Transform complex datasets, automate reporting, and perform business driver analysis to improve operational processes and applications. Utilize advanced methods to identify customer and specialist friction points across multiple interaction channels.
• Collaborate with cross-functional teams to integrate business assumptions with production data, validate hypotheses, and identify production flaws.
• Create and present clear, actionable insights to peers, executive leadership, and business partners.
• Proactively investigate and resolve issues in data collection, model development, and production phases.
• Develop SQL and Python codebases, and document data dictionaries and model outputs in a clear and concise manner.
• Serve as a member of agile, digital, or scrum teams, providing data and analytics support for new product development.

Required Qualifications, Capabilities, And Skills

• Bachelor's degree in Economics, Data Analytics, Statistics, or a STEM related field; 6 years of work experience in Analytics or Master's degree in Economics, Data Analytics, Statistics, or a STEM related field; 2 year of work experience in Analytics
• Solid programming skills in SQL.
• Hands-on experience with Excel PivotTables, PowerPoint presentations, and data wrangling and visualization tools including Tableau, Alteryx and Python Jupyter Notebook.
• Trained in multivariate statistics, regression analysis, Python, SQL and visualization tool including Tableau.
• Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake.
• Strong understanding of multi-linear regression, logistic regression, clustering, classification techniques including LightGBM and XGBoost, controlled experiments, and causal inference methods (DD, PM, NN).
• Experience with Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLM).

Preferred Qualifications, Capabilities, And Skills

• Extensive experience in consumer banking units such as operations, servicing, collections, or marketing.
• Proficient in big data ETL processes for both structured and unstructured databases.
• Good understanding of IT processes and databases, with the ability to work directly with data owners and custodians, contributing to the development of analytics data hubs.

About Us

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.